Online variants of the cross-entropy method

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dc.creatorSzita, Istvan
dc.creatorLorincz, Andras
dc.date2008-01-14
dc.date.accessioned2026-07-07T08:54:16Z
dc.date.available2026-07-07T08:54:16Z
dc.descriptionThe cross-entropy method is a simple but efficient method for global optimization. In this paper we provide two online variants of the basic CEM, together with a proof of convergence.
dc.description8 pages
dc.identifierhttps://arxiv.org/abs/0801.1988
dc.identifierhttp://arxiv.org/abs/0801.1988
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/145867
dc.subjectMachine Learning
dc.titleOnline variants of the cross-entropy method
dc.typetext

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